Risk Analysis in Engineering and Economics

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A01=Bilal M. Ayyub
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Author_Bilal M. Ayyub
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Basic Random Variables
Bayesian Network
Blind Ignorance
Cash Flow Diagrams
Category1=Non-Fiction
Category=PBT
Compound Amount Factor
consequences
Contributing Factor Diagram
COP=United States
Correlated Random Variables
CS Distribution
cs1
CS1 CS2 CS3 CS4 CS5
cs2
cs3
cs4
cs5
Cumulative Hazard Rate Function
decision analysis methods
Delivery_Pre-order
Efficient Frontier
elicitation
Empirical Survivor Function
eq_isMigrated=2
eq_nobargain
expert
Expert Opinion Elicitation
failure
Hazard Functions
High High High High High
HRF
Influence Diagrams
infrastructure protection
Language_English
Minimal Cut Sets
NPV NPV
opinion
Optimal Maintenance
Optimal Maintenance Policies
PA=Temporarily unavailable
Posterior PDF
predictive risk modeling applications
Present Worth Factor
Price_€100 and above
probabilistic modeling
PS=Active
Reliability Function
risk management strategies
Series Parallel System
softlaunch
statistical reliability assessment
uncertainty quantification

Product details

  • ISBN 9781466518254
  • Weight: 1245g
  • Dimensions: 178 x 254mm
  • Publication Date: 18 Mar 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty. The author describes the fundamental concepts, techniques, and applications of the subject in a style tailored to meet the needs of students and practitioners of engineering, science, economics, and finance. Drawing on his extensive experience in uncertainty and risk modeling and analysis, the author covers everything from basic theory and key computational algorithms to data needs, sources, and collection. He emphasizes practical use of the methods presented and carefully examines the limitations, advantages, and disadvantages of each to help readers translate the discussed techniques into real-world solutions.

This Second Edition:

  • Introduces the topic of risk finance
  • Incorporates homeland security applications throughout
  • Offers additional material on predictive risk management
  • Includes a wealth of new and updated end-of-chapter problems
  • Delivers a complementary mix of theoretical background and risk methods
  • Brings together engineering and economics on balanced terms to enable appropriate decision making
  • Presents performance segregation and aggregation within a risk framework
  • Contains contemporary case studies, such as protecting hurricane-prone regions and critical infrastructure
  • Provides 320+ tables and figures, over 110 diverse examples, numerous end-of-book references, and a bibliography

Unlike the classical books on reliability and risk management, Risk Analysis in Engineering and Economics, Second Edition relates underlying concepts to everyday applications, ensuring solid understanding and use of the methods of risk analysis.

Bilal M. Ayyub is professor of civil and environmental engineering at University of Maryland, College Park and director of the Center for Technology and Systems Management at A. James Clark School of Engineering. Highly decorated and widely published, he holds degrees from Kuwait University and the Georgia Institute of Technology. A fellow of ASCE, ASME, SRA, and SNAME, as well as a senior member of IEEE, he has completed research and development projects for entities including the National Science Foundation, U.S. Air Force, U.S. Coast Guard, Army Corps of Engineers, Navy, Department of Homeland Security, and private insurance and engineering firms.

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